Neuromorphic/AI Research Scientist

Intel Corporation•Austin, TX

1d•$170,500 - $315,490•Hybrid

About The Position

Intel's Neuromorphic Computing Lab has been at the forefront of brain-inspired computing for nearly a decade, working alongside a global ecosystem of 250+ research groups. Our groundbreaking Loihi series research chips have pioneered event-driven, sparse, and massively parallel neuro-inspired processing, resulting in over 100 peer-reviewed publications. As part of Intel's CTO Office, we're now transforming these research breakthroughs into real-world products that will power the next generation of physical AI systems. We are seeking a Neuromorphic AI Research Scientist to advance state-of-the-art neuromorphic processor technology toward commercial adoption. This role focuses on modeling, prototyping, and defining architectures and algorithms that enable transformative gains for real-world customer applications in edge computing, signal processing, and autonomous systems.

Requirements

PhD (or equivalent research experience) in Computational Neuroscience, Computer Science, Electrical Engineering, Applied Mathematics, Robotics, or a related field.
1+ projects demonstrating the skills to turn research ideas into working prototypes and to evaluate them rigorously (benchmarks, baselines, ablations, quantitative reporting).
3+ publications in leading journals or conferences on AI/ML, edge computing, robotics, and/or control.
2+ years of experience with: State-of-the-art AI models, optimization, and at least one of: control/dynamical systems, signal processing, or probabilistic inference.
Scientific programming for research (e.g., Python or C/C++) including experience with software development best practices (OO design, testing, debugging, documentation, version control, code reviews).

Nice To Haves

Track record of open-source releases or widely used internal libraries; skills to write high-impact technical narratives (e.g., position papers).
1+ years of experience with: Strong mathematical background.
Edge AI HW accelerators or event-based sensors.
Quantization and computations with low-precision arithmetic.
Developing software for robotics or other real-time control systems.
Building performant components in a systems language (e.g., C/C++/assembler) or equivalent performance-oriented environment.
Profiling and benchmarking algorithms and hardware architectures.
Hardware architecture and design experience.

Responsibilities

Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms
Develop research-quality software artifacts including APIs, kernels, and benchmarking tools that enable collaborative innovation
Prototype and evaluate approaches under realistic constraints including quantization, sparsity, memory footprint, latency, and energy optimization
Collaborate with hardware and software engineering teams to translate algorithmic requirements into hardware specifications
Build experimental pipelines and benchmarks for target use cases with comprehensive baseline and ablation studies
Communicate results through technical documentation, customer prototypes, and publications in leading conferences and journals
Contribute to technical thought leadership in neuromorphic computing and present findings to internal and external stakeholders